Unit Name: Biology
Year: 2006-2007
Senate Page #___1____
Faculty Page #_______
Appendix 1
Department of Biology
Major Program Changes
Summary of Changes
Notes:
(1) The proposed program in Mathematical Biology has been withdrawn.
Any residual references to this program in the report should be
ignored.
(2) All programs include a co-op option.
MAJOR CHANGES (1. PROGRAMS)
1. Introduction of New Program in Mathematical Biology B.Sc.
Honours(20.0 credits)
2. Delete Program: Computational Biology with Specialization in
Molecular Bioinformatics B.Sc. Honours (20.0 credits) page 3
3. Delete Program: Computational Biology with Specialization in
Biodiversity, B.Sc. Honours (20.0 credits) page 6
4. Introduce New Program: Bioinformatics B.Sc. Honours (20.0
credits)page 9
5. Introduce New Program: Computational Biology B.Sc. Honours
(20.0 credits)page 21
MAJOR CHANGES (2. COURSES)
None
2/13/16
Unit page # 1
Unit Name: Biology
Year: 2006-2007
Senate Page #___2____
Faculty Page #_______
Preamble
Bioinformatics, mathematical biology and computational biology are
rooted in life sciences as well as mathematics, computer and
information sciences and technologies. These interdisciplinary
approaches draw from specific disciplines such as mathematics, physics,
computer science and engineering, biology, and behavioral science. Each
discipline maintains close interactions with life sciences to realize
their full potential. Bioinformatics applies principles of information
sciences and technologies to make the vast, diverse, and complex life
sciences data more understandable and useful. Computational biology
uses mathematical and computational approaches to address theoretical
and experimental questions in biology. Although bioinformatics and
computational biology are distinct, there is also significant overlap
and activity at their interface.
Bioinformatics: Research, development, or application of computational
tools and approaches for expanding the use of biological, medical,
behavioral or health data, including those to acquire, store, organize,
archive, analyze, or visualize such data. Major research efforts in the
field include sequence alignment, gene finding, genome assembly,
protein structure alignment, protein structure prediction, prediction
of gene expression and protein-protein interactions.
Computational Biology: The development and application of dataanalytical and theoretical methods, mathematical modeling and
computational simulation techniques to the study of biological,
behavioral, and social systems.
Mathematical Biology: Mathematical biology is an interdisciplinary
field of study which aims at modelling natural, biological processes
using mathematical techniques and tools. It has both practical and
theoretical applications in biological research.
Research areas
include: Population dynamics, Modelling cell and molecular biology
Modelling physiological systems, Spatial modelling, Biological pattern
formation. These examples are characterised by complex, nonlinear
mechanisms and it is being increasingly recognised that the result of
such interactions may only be understood through mathematical models.
Comparison and Contrast of the New Programs in:
Bioinformatics
Computational Biology
Mathematical Biology
Program
B.Sc. Honours
Bioinformatics
B.Sc. Honours
Computational Biology
B.Sc. Honours
Mathematical Biology
2/13/16
Biology and
Biochemistry
Credits
9.0
Math and
Statistics
Credits
3.0
Computer
Science
Credits
3.0
8.0
3.0
4.0
8.0
6.0
1.0
Unit page # 2
Unit Name: Biology
Year: 2006-2007
2.1
Senate Page #___3____
Faculty Page #_______
Program Termination Proposal
Description of the Program
Computational Biology with Specialization in Molecular Bioinformatics
B.Sc. Honours (20.0 credits)
A. Credits included in the Major CGPA (13.5 credits):
1. 3.5 credits in BIOL 1003, BIOL 1004, BIOL 2001, BIOL 2002, BIOL
2104, BIOL 2200, BIOL 4901;
2. 0.5 credit in either BIOL 3205 or BIOL 3305;
3. 2.5 credits in CMPS 2800, CMPS 3604, CMPS 3800, CMPS 4909 [1.0];
4. 4.0 credits in CHEM 2203, CHEM 2204, CHEM 2206, BIOL 3104, BIOC 3100
[1.0], BIOC 4002, BIOC 4006, BIOL 4106;
5. 0.5 credit in Biology or Biochemistry at the 3000-level or above;
6. 2.0 credits in COMP 1002, COMP 1005, COMP 1006, COMP 2002;
7. 0.5 credit in COMP at the 2000-level or above;
B. Credits not included in the Major CGPA (6.5 credits): postpublication update--see Updates page for details
8. 1.0 credit in CHEM 1000;
9. 1.0 credit in PHYS 1007 and PHYS 1008, or PHYS 1003 and PHYS 1004;
10. 2.0 credits in MATH 1007, MATH 1107, MATH 2007, STAT 2507;
11. 0.5 credit in NSCI 1000 or Approved Arts or Social Sciences;
12. 1.5 credits in Approved Arts or Social Sciences;
13. 0.5 credit free elective.
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Unit page # 3
Unit Name: Biology
Year: 2006-2007
Senate Page #___4____
Faculty Page #_______
2.2 Status of the Program
TABLE 2.1
Program Enrolments - 20th Oct. 2005/2004
2005
2004
Total
Yr1
Yr2
Yr3
Comp Biology: Molecular
9
0
2
2
5
10
2
0
4
4
Comp Biochem
7
2
1
3
1
8
3
4
1
0
Comp Biol: Biodiversity
2
1
0
1
0
2
1
1
0
0
Comp Chemistry
6
0
2
4
0
6
2
1
2
1
Comp Geophysics
3
0
1
1
1
4
0
1
1
2



Yr4
Total
Yr1
Yr2
the current status of the program within the offerings of the
unit.
 This program is currently offered, and has about 9 students
enrolled. It has not achieved our enrolment objectives. We
plan to advertise the new replacement program more extensively,
and have hired faculty in Bioinformatics, who will champion the
program.
recent enrolment and graduation trends.
 Cannot get this data from OIRP website
current status of the original aims of the program.
 The original aims are still in place.
2.3 Reason for Termination
There are two main reasons for termination of this program.
1. This program has great potential, but has been underenrolled.
Students are confused by the long and unwieldy title of the program,
and where to go for academic advice. Moving the program to Biology
giving it a title that more accurately reflects the nature of the
program will improve student recruitment into Bioinformatics at
Carleton.
2.
The College of Natural Sciences will be closed in the summer of
2006. This will leave the Computational Science programs without an
academic home. Thus the home departments for these programs are
repatrioting the programs. This program will be replaced by a new
Biology program in Bioinformatics.
This program will be replaced by a new Biology program in
Bioinformatics. The College of Natural Sciences will be removed in the
summer of 2006. This will leave the Computational Science programs
without an academic home. Thus the home departments for these programs
are repatrioting the programs.
2/13/16
Unit page # 4
Yr3
Yr4
Unit Name: Biology
Year: 2006-2007
Senate Page #___5____
Faculty Page #_______
2.4 Impact of Closing
The negative impact of closing this program will be minimal, since it
is being replaced with an improved program in Bioinformatics.
The positive impact will be increased student recruitment into
Bioinformatics at Carleton, and increased student satisfaction.

faculty or support staff positions;
No impact
TA resources;
No impact
facilities, equipment and space.
No impact


2.5 Phase-out Plan
Students currently registered in Computational Biology with
Specialization in Molecular Bioinformatics, B.Sc. Honours, will be
given the option of switching to the new Bioinformatics, B.Sc. Honours
program or continuing in their current degree until graduation.
Returning students will be enrolled in the new Bioinformatics, B.Sc.
Honours program. No new students will be admitted into the
Computational Biology program.
2.6 Endorsement of the Resource Planning Committee
No lost revenue or reduced delivery costs are expected, since this
program is being replaced by the new B.Sc. Honours in Bioinformatics.
The Science Academic Planning Committee supports the closure of this
program, and the creation of the new program in Bioinformatics. This
has also passed Science Faculty Board.
2.7 Consultation
The report will demonstrate consultation with and respect for the
comments of:




Other academic units with an interest;
The School of Computer Science supports the closure of the
program, and the opening of the new B.Sc. Honours in
Bioinformatics (see attached letter).
The Registrar’s Office;
The Registrar’s Office has been informed of the program closure,
and has audited the new replacement program in Bioinformatics.
The Office of Admission Services;
The Office of Admission Services has been informed of this
program closure, and the opening of the replacement program.
Undergraduate Recruitment.
Undergraduate Recruitment has been informed of this program
closure, and the opening of the replacement program.
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Unit page # 5
Unit Name: Biology
Year: 2006-2007
3.1
Senate Page #___6____
Faculty Page #_______
Program Termination Proposal
Description of the Program
Computational Biology with Specialization in Biodiversity
B.Sc. Honours (20.0 credits)
A. Credits included in the Major CGPA (13.5 credits):
1. 4.0 credits in BIOL 1003, BIOL 1004, BIOL 2001, BIOL 2002,
BIOL 2104, BIOL 2200 BIOL 2600, BIOL 4901;
2. 0.5 credit in BIOL 3205 or BIOL 3305;
3. 2.0 credits in CMPS 2800, CMPS 3800, CMPS 4909 [1.0];
4. 2.0 credits in BIOL 3612 or BIOL 4103, and BIOL 3601, BIOL 3602,
BIOL 3604;
5. 0.5 credit from BIOL 4104 or BIOL 4609;
6. 2.0 credits in biology at the 3000-level or above;
7. 2.0 credits in COMP 1002, COMP 1005, COMP 1006, COMP 2002;
8. 0.5 credit in COMP at the 2000-level or above;
B. Credits not included in the Major CGPA (6.5 credits):
9.
10.
11.
12.
13.
14.
1.0
1.0
2.0
0.5
1.5
0.5
2/13/16
credit in CHEM 1000 [1.0];
credit in PHYS 1007 and PHYS 1008, or PHYS 1003 and PHYS 1004;
credits in MATH 1007, MATH 1107, MATH 2007, STAT 2507;
credit in NSCI 1000 or Approved Arts or Social Sciences;
credits in Approved Arts or Social Sciences;
credit in free elective.
Unit page # 6
Unit Name: Biology
Year: 2006-2007
Senate Page #___7____
Faculty Page #_______
3.2 Status of the Program
TABLE 3.1
Program Enrolments - 20th Oct. 2005/2004
2005
2004
Total
Yr1
Yr2
Yr3
Comp Biology: Molecular
9
0
2
2
5
10
2
0
4
4
Comp Biochem
7
2
1
3
1
8
3
4
1
0
Comp Biol: Biodiversity
2
1
0
1
0
2
1
1
0
0
Comp Chemistry
6
0
2
4
0
6
2
1
2
1
Comp Geophysics
3
0
1
1
1
4
0
1
1
2



Yr4
Total
Yr1
Yr2
the current status of the program within the offerings of the
unit.
 This program is currently offered, and has about 2 students
enrolled. It has not achieved our enrolment objectives. We
plan to advertise the new replacement program more extensively,
and have hired faculty in Bioinformatics, who will champion the
program.
recent enrolment and graduation trends.
 Cannot get this data from OIRP website
current status of the original aims of the program.
 The original aims are still in place.
3.3 Reason for Termination
There are two main reasons for termination of this program.
This program has great potential, but has been underenrolled. Students
are confused by the long and unwieldy title of the program, and where
to go for academic advice. Moving the program to Biology giving it a
title that more accurately reflects the nature of the program will
improve student recruitment into Bioinformatics at Carleton.
The College of Natural Sciences will be closed in the summer of 2006.
This will leave the Computational Science programs without an academic
home. Thus the home departments for these programs are repatrioting
the programs.
This program will be replaced by a new Biology program in Computational
Biology. The College of Natural Sciences will be removed in the summer
of 2006. This will leave the Computational Science programs without an
academic home. Thus the home departments for these programs are
repatrioting the programs.
2/13/16
Unit page # 7
Yr3
Yr4
Unit Name: Biology
Year: 2006-2007
Senate Page #___8____
Faculty Page #_______
3.4 Impact of Closing
The negative impact of closing this program will be minimal, since it
is being replaced with an improved program in Computational Biology.
The positive impact will be increased student recruitment into
Bioinformatics at Carleton, and increased student satisfaction.

faculty or support staff positions;
No impact
TA resources;
No impact
facilities, equipment and space.
No impact


3.5 Phase-out Plan
Students currently registered in Computational Biology with
Specialization in Biodiversity, B.Sc. Honours, will be given the option
of switching to the new Computational Biology, B.Sc. Honours program or
continuing in their current degree until graduation. Returning students
will be enrolled in the new Computational Biology, B.Sc. Honours
program. No new students will be admitted into the Computational
Biology program.
3.6 Endorsement of the Resource Planning Committee
No lost revenue or reduced delivery costs are expected, since this
program is being replaced by the new B.Sc. Honours in Computational
Biology. The Science Academic Planning Committee supports the closure
of this program, and the creation of the new program in Bioinformatics.
This has also passed Science Faculty Board.
3.7 Consultation
The report will demonstrate consultation with and respect for the
comments of:




Other academic units with an interest;
The School of Computer Science supports the closure of the
program, and the opening of the new B.Sc. Honours in
Computational Biology (see attached letter).
The Registrar’s Office;
The Registrar’s Office has been informed of the program closure,
and has audited the new replacement program in Computational
Biology.
The Office of Admission Services;
The Office of Admission Services has been informed of this
program closure, and the opening of the replacement program.
Undergraduate Recruitment.
Undergraduate Recruitment has been informed of this program
closure, and the opening of the replacement program.
2/13/16
Unit page # 8
Unit Name: Biology
Year: 2006-2007
4.
Senate Page #___9____
Faculty Page #_______
Introduction of New Program: Bioinformatics
B.Sc. Honours (20.0 credits)
4.1 Objectives
The report will include statements of:
 The mission of the program
The mission of the Bioinformatics Program is to provide the highest
possible quality undergraduate level education and research experiences
in bioinformatics, equipping the new generation of this burgeoning
professional community with the tools for a successful career in
bioinformatics.
Bioinformatics can be defined as the use of computers to store and
analyze the data acquired from biological research. Bioinformatics is
increasingly recognized as a distinctive scientific discipline
combining aspects of computer science, statistics, mathematics, and
biology, as well as related areas such as biochemistry and physics.
Advances in Bioinformatics are making critical contributions to disease
detection, drug design, database design, high-performance computing,
pattern recognition methods, search algorithms, and statistical
methods.
The Program in Bioinformatics addresses the growing national and
regional demand for trained bioinformaticians. Research projects
include genomics, proteomics, metabolomics, cell systems modeling and
neuroinformatics. The Bioinformatics Program faculty are engaged in
leading-edge research and are dedicated to educating the next
generation of researchers and practitioners in bioinformatics and
computational biology. The flexibility of the degree programs makes the
Program especially relevant for students employed in today's diverse
biotechnology workplace, including both private industry and federal
agencies and laboratories.
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Unit Name: Biology
Year: 2006-2007
Senate Page #___10____
Faculty Page #_______
The learning objectives of the program
Studying an integrated subject like Bioinformatics will help
decompartmentalize scientific disciplines and reflect the type of
learning required for students in the 21st century. For students to
succeed in science in this new century, their understanding of science
must be integrative and expansive, not divided and restrictive.

To offer an undergraduate program in Bioinformatics, designed to
prepare students for leading roles in education, science, business,
industry, the professions, and other careers.

To provide a wide range of opportunities for students to acquire
the computational skills they will need in Biology.

Graduates will be proficient in computer science and the physical
sciences and will become aware of the importance of these subjects
for achieving a full understanding of any biological phenomenon.

Provide students with a program that uses computational reasoning
and techniques to gain insights into complex biological phenomena.
Of equal importance with mathematical content in these programs are
the analytical and problem-solving skills which find application in
nearly every field of endeavor.
The strategic enrolment objectives
The program is designed to recruit 5 to 10 students each year.
four years there should be 20 to 40 students in the program
(see TABLE 1.1)
After
TABLE 4.1
# of students
Retention Rate

Year 1
10
Year 2
9
0.853
Year 3
8
0.774
Year 4
7
0.69
Total
34
Consistency of the program with the objectives of the degree and
the university
The Bioinformatics program supports the larger coordinate mission of
Carleton University. We present this new program to foster integrated
learning, exceptional leadership for change and wisdom for a lifetime.
The proposed Program also supports Carleton’s Vision for the future.
Carleton University will be widely recognized among universities for
it’s success in enhancing students' capacities to integrate learning
and manifest exceptional leadership within a lifelong search for
wisdom. This program will become a model for integrated learning on
campus.
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Unit page # 10
Unit Name: Biology
Year: 2006-2007
Senate Page #___11____
Faculty Page #_______
4.2 Description

Course requirements with special emphasis on core requirements
New version
Bioinformatics
B.Sc. Honours (20.0 credits)
A.
1.
7.
Credits included in the Major CGPA (12.0 credits):
4.0 credits in BIOL 1003, BIOL 1004, BIOL 2104, BIOL 2200,
BIOL 3104, BIOL 4106, BIOL 4908 [1.0];
0.5 credits in BIOL 2001 or BIOL 2002;
0.5 credits in BIOC 2300 or CHEM 2101;
3.0 credits in BIOC 3008, BIOC 3101, BIOC 3102,BIOC 3202
BIOC 4008, BIOC 4202;
1.0 credits in Biology or Biochemistry at the 3000-level or above;
2.5 credits in COMP 1002, COMP 1005, COMP 1006, COMP 2002,
COMP 2004;
0.5 credit in COMP at the 2000-level or above;
B.
Credits not included in the Major CGPA (8.0 credits):
2.
3.
4.
5.
6.
8.
2.0 credit in CHEM 1000 [1.0], CHEM 2203, CHEM 2204;
9.
1.0 credit in PHYS 1007 and PHYS 1008, or PHYS 1003 and PHYS 1004;
10. 3.0 credits in MATH 1007, MATH 1107, MATH 2007, STAT 2507, MATH
2800, MATH 3800;
11. 0.5 credit in NSCI 1000 or Approved Arts or Social Sciences;
12. 1.5 credits in Approved Arts or Social Sciences;

Admission requirements
For admission to the Bachelor of Science program in Biology:
students must have the Ontario Secondary School Diploma (OSSD) or
equivalent including a minimum of six Grade 12 4U or 4M (U/C) courses
OR six Ontario Academic Courses (OACs). Equivalent courses may be
substituted between the new curriculum courses and OACs.
The six Grade 12 4U or 4M (U/C) courses must include Advanced Functions
and Introductory Calculus and two of Geometry and Discrete Mathematics,
Biology, Chemistry, Earth and Space Science or Physics (Geometry and
Discrete Mathematics is recommended) OR the six OACs must include
Calculus and two of Algebra/Geometry, Biology, Chemistry or Physics.
Equivalent courses may be substituted between the new curriculum
courses and OACs.
Advanced Standing
Applications for admission with advanced standing to the program will
be evaluated on an individual basis. Successful applicants will have
individual academic subjects, completed with grades of C- or better,
evaluated for academic standing, provided the academic work has been
completed at another university or degree-granting college or in
another degree program at Carleton University. Students must take a
minimum of 1.0 credit of complementary studies at Carleton University.
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Unit Name: Biology
Year: 2006-2007
Senate Page #___12____
Faculty Page #_______
 Additional program elements
None.
4.3 Academic Merit and Program Delivery
Modern biology, in this post-genome age, is being greatly enriched by
an infusion of ideas from a variety of computational fields, including
computer science, information science, mathematics, operations research
and statistics. In turn, biological problems are motivating innovations
in these computational sciences. There is a high demand for scientists
who can bridge these disciplines. The goal of the Bioinformatics
Program is to train such scientists through a rigorous and balanced
curriculum that transcends traditional departmental boundaries. The
Program offers specialized training towards a B.Sc. Honours degree in
Bioinformatics that complement and enhance the normal degree
requirements of the students’ home departments.
Twenty-first century science is driven by challenges at interfaces
between disciplines. Progress at these interfaces has made it possible
to address problems at levels of resolution and at temporal and spatial
scales that were not possible just a decade ago. A problem which is
always present in Bioinformatics is the relative difficulty, for highly
skilled biological professionals, to understand the concepts, jargon
and methods of mathematicians, and vice versa. This often translates in
ineffective or missed cooperation. One goal of the Bioinformatics
program will produce students who are fluent in both Biology and
Computer Science, and are thus able to bridge the gap.
4.3.1 The report will describe the appropriateness of:



the admission requirements in assessing achievement and
preparation, for the learning objectives of the institution and
the program;
the program's structure and curriculum for its learning
objectives;
the mode of delivery to meet the program’s learning objectives;
 a co-operative education option;
Direct Admission to the First Year of the Co-op Option
Applicants must:
a) Meet the required overall admission cut-off average and prerequisite
course average. These averages may be higher than the stated minimum
requirements for the Bachelor of Science degree stated above;
b) Be registered as a full-time student in the program;
c) Be eligible for work in Canada (for off-campus work placements).
Note that meeting the above entrance requirements only establishes
eligibility for admission to the program. Enrolment in the co-op option
may be limited at the discretion of the department.
Continuation Requirements for Students Previously Admitted to the Co-op
Option and Admission to the Co-op option after beginning the program
Students may also apply to the co-op option once they have arrived at
the University at the beginning of second year, provided they:
a) are registered as a full-time student in the program;
b) have an overall CGPA of 8.00 or better;
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Unit Name: Biology
Year: 2006-2007
Senate Page #___13____
Faculty Page #_______
c) successfully completed all required first year courses before
beginning the first work placement;
d) are eligible to work in Canada (for off-campus work placements);
e) have obtained permission of the Co-op Faculty Advisor.
Students must be eligible for third-year standing when they return for
a study term after their first work placement.
In addition, students whose first language is not English who are
admitted to Carleton based on TOEFL or CAEL assessments must take the
Spoken English Test for Co-op students and attain a minimum score of
5.0.
Meeting the above entrance requirements only establishes eligibility
for admission to the program. Enrolment in the co-op option may be
limited at the discretion of the department.

the methods used for the evaluation of student progress;
Program Educational Objectives

To provide educational experiences which challenge students to:

Grasp the fundamental principles underlying the two major elements of
bioinformatics: biological sciences and information technology.

Apply and integrate knowledge of the elements of information
technology to identify, formulate, and solve biological complexity
problems.

Conduct computational experiments, including: design of experiment,
execution and recording, analysis, interpretation and professional
reporting of results.

Consider and prepare for a career in bioinformatics and related
fields.
Program Outcomes
Program participants who have:

An ability to develop and apply information technology solutions to
investigate biological systems.

An ability to design, encode, analyze, and report on computational
projects in bioinformatics.

Beginning understanding of the impact of bioinformatics solutions on
society, including economic, ethical and environmental impacts.

An appreciation of the importance of learning more in these areas
throughout their career.

An understanding of contemporary issues in bioinformatics.

A keen interest in pursuing further studies and a career in
bioinformatics
2/13/16
Unit page # 13
Unit Name: Biology
Year: 2006-2007
Senate Page #___14____
Faculty Page #_______
Through a variety of learning opportunities, our students will develop:

A knowledge-base necessary to understand the complexities of the
biology and computer science.

Integrate basic biological and computer science knowledge and its
structure to develop a foundation in the concepts and facts in
modern biology and computer science, and to be familiar with various
ways of organizing and accessing scientific knowledge

Scientific methodology: to understand the methods and limitations of
science and what distinguishes science from other modes of inquiry

Evolutionary nature of biology and mathematics: to become aware of
past and emerging developments and issues in these fields and to
place scientific discoveries in a historical and societal context

The technical and intellectual skills necessary to facilitate
creative problem solving
4.3.2 Describe the availability of faculty sufficient in number,
quality and expertise in the relevant areas to support the new program.
Several Biology faculty members (Cheetham, Dumontier, Golshani,
Lambert) use bioinformatics in their research programs. In addition,
several Computer Science faculty have strong interests in
bioinformatics (Dehne, Sack, Kraniakos, White). Thus, there will be
no difficulty in finding Honours Thesis supervisors for the
bioinformatics students.
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Unit page # 14
Unit Name: Biology
Year: 2006-2007
Senate Page #___15____
Faculty Page #_______
4.4 Demand and Impact
Bioinformatics is a very active and fast growing inter-disciplinary
area in which mathematical concepts, techniques, and models are applied
to a variety of problems in the biological sciences. Bioinformatics is
growing inside and outside of academia (for example, in drug and
biotech companies). There is now an increasing demand for
bioinformatics experts.
The integrated learning experience provided by this major is, in
effect, broader-based than either Biology or Computer Science alone,
and students can be expected to derive even greater employment
opportunities in a world where an understanding of the molecular basis
of life will be increasingly valued.
Today's life science students absolutely need computational and
Bioinformatics competency. It is essential in today's scientific job
market.
The biotechnology sector, either in academia or in the commercial
world, especially in the pharmaceutical industry, is the obvious
employer. However, opportunities abound, in fields as diverse as
hospital administration and genetic counselling, to large scale
sequencing centers, to software development companies. There is no lack
of incentive and the situation is unlikely to change for quite some
time, especially with the current pace of genome project completion.
All that newly sequenced DNA needs to be analyzed and annotated. It is,
and will continue to be, an enormous job. It is the essence of "datamining."
A perusal of employment listings in any of the major scientific
journals or computer bulletin boards clearly illustrates the demand for
skilled Bioinformatics experts:
http://recruit.sciencemag.org/
http://www.nature.com/naturejobs/
http://net.bio.net/hypermail/biojobs/
http://www.genomeWeb.com/careers/jobs.asp
Many are often Bioinformatics or some other type of computational or
biology position, or, at the very least, positions that require some
knowledge of the techniques of Bioinformatics.
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Unit page # 15
Unit Name: Biology
Year: 2006-2007
Senate Page #___16____
Faculty Page #_______
4.4.1 The report will make a clear statement of the demonstrable
evidence of student and faculty demand, in terms of:






the available data on course and program enrolments, past, current
and projected in the area including the number and kinds of
students who have been taking this group of courses (e.g., fulltime, part-time, special, majors and honours both within and
outside the department(s));
Since this is a totally new program, there is no program enrolment
data available.
any evidence that can demonstrate a potential clientele not now at
the University;
Increasing enrolments in the Biology and Physics program points to
a small, but increasing demand for a program in Bioinformatics
the nature and extent of any scholarly activity of faculty members
that may result from the proposed development.
Collaborations are already forming between researchers from Biology
and Computer Science, including, but not limited to: Cheetham,
Dumontier, Golshani and Dehne, Cheetham and Sack. This program
will promote further collaborations between research groups in
Biology, Math and Computer Science.
4.4.2 Should a proposal be made that has some form of professional
orientation, a market reading on the employment possibilities for
graduates of the program(s) involved and, if such a reading is
inappropriate, an otherwise clear statement of what evidence exists to
support the social need/demand for graduates of the program(s).
The biological sciences are in the midst of an extraordinary expansion
sparked by powerful new technologies, measurement techniques, and the
grand achievements of genomic mapping. The desire to understand the
consequent flood of experimental data has led bioscientists inexorably
to computer science. Conversely, biological challenges push the
boundaries, leading to creation of new branches of mathematics. The
Bioinformatics Program will provide a multidisciplinary platform to
support excellent education and research across this interface.
2/13/16
Unit page # 16
Unit Name: Biology
Year: 2006-2007
Senate Page #___17____
Faculty Page #_______
4.4.3 A statement describing the way in which the proposal is expected to
relate to and/or affect the existent program and student mix of the
department and faculty. This statement will include impacts on both
program and course enrolments within the academic unit and elsewhere in
the university.
1. Computational Biology students have complained that their
programs have no academic home (and when the College of Natural
Sciences is closed, they will have no administrative home,
either).
2. Prospective students have stated that the names of the programs
are long and confusing. Bioinformatics is a well recognized
discipline, distinct from Computational Biology. Computational
Biology with Specialization in Molecular Bioinformatics is too
long and confusing, and Molecular Bioinformatics is a redundant
term
3. The current program does not give the students enough computer
science courses to become proficient at programming. Biology is
beginning a discussion of a potential joint honours program in
Bioinformatics with the School of Computer Science in the future.
4. Moving the Computational Biology programs back to their home
department will provide incentive for more active recruitment of
students into these programs.
Some of the other changes in this program are necessary to incorporate
changes to the Biochemistry programs.
These changes are designed to improve the Bioinformatics program and to
improve the undergraduate experience for students in these programs.
4.5 Consultation
The report will demonstrate consultation with and respect for the
comments of:








Other academic units with an interest;
See attached letter from the School of Mathematics and Statistics
The Registrar’s Office;
The Registrar’s Office has audited the program, and given
approval.
The Office of Admission Services;
The Office of Admissions Services has been informed of the
addition of the new program.
The Library;
No new library resources are required for this program
2/13/16
Unit page # 17
Unit Name: Biology
Year: 2006-2007
Senate Page #___18____
Faculty Page #_______
4.6 Resource Requirements and Availability
4.6.1 The report will include a statement identifying the human and
material resources required to effect the proposed development in terms
of:
 academic and non-academic staffing;
No new personnel are required for this program. No new Biology courses
are required for the Mathematical Biology program. Several Biology
faculty members (Cheetham, Dumontier, Forbes, Sherratt, Simons) use
mathematical models in their research programs. Thus, there will be no
difficulty in finding Honours Thesis supervisors for the Mathematical
Biology students. We anticipate approximately 10 students per year in
the B.Sc. in Mathematical Biology.
There is an opportunity for the Biology Department to cooperate with
the School of Mathematics and Statistics to build strength in
Mathematical Biology at Carleton. A new Assistant Professor in
Bioinformatics (Dumontier) was hired (July 01, 2005) and a new CRC in
Bioinformatics in Computer Science will be filled July 01, 2006
 space allocation (classroom, instructional/laboratory and office);
No new space is required for this program.
 administrative support;
Incremental increase in undergraduate administration support to
accommodate new students is required for this program.
 equipment/supplies;
Incremental increase in course budgets for supplies to accommodate new
students is required for this program.

implications for instructional support departments (e.g., Computing
and Communication Services, Instructional Media Services, etc.);
New students will require Connect accounts.
4.6.2 A statement reporting the assessment of the appropriate division(s)
of the Library regarding the resources required to support such
development.
No new library resources required.
4.6.3 A statement comparing the required resources to the available, and
listing the additional resources (all categories) required.
Incremental costs in course budgets for lab supplies, photocopying, etc.
to accommodate the new students.
4.6.4 A statement on how the additional resources will be provided (this
should include internal and external support).
Resources will be provided through the Biology operating budget which
comes from the Dean of Science. No new Biology courses are required
for the Bioinformatics program. Biochemistry is offering an additional
Bioinformatics course. We anticipate approximately 10 students per year
in the B.Sc.(Honours) in Bioinformatics.
2/13/16
Unit page # 18
Unit Name: Biology
Year: 2006-2007
Senate Page #___19____
Faculty Page #_______
4.7 Financial Implications
4.7.1 Income Implications
The report will assess as accurately as possible additional revenue for
the university to be expected through implementation of the new
program. This will include income from tuitions, grants and other
sources.
We anticipate 5 to 10 students in the program each year, so in four
years, there could be between 20 to 40 students. Income from tuition
will be equal to the number of students multiplied by the number of
BIU’s that they bring in (see TABLE 1).
4.7.2 Ministry Funding Approval
The proposal must consider and include any additional supporting
documentation as required by the Ministry's funding approval criteria
as per the Ministry of Education and Training document dated November
8, 1996 (available from the Senate Office upon request).
This program meets the Ministry's funding approval criteria as per the
Ministry of Education and Training document dated November 8, 1996.
There is a more recent version of these guidelines, dated April 2005.
4.7.3 Costs
The report will assess as accurately as possible the one-time and
recurring costs associated with the proposal as presented in Section
1.6.
Incremental costs in course budgets for lab supplies, photocopying, etc.
to accommodate the new students.
Common categories of costs are listed below, along with an indication of
the sort of information to be supplied:
Personnel. Supply a list of new academic and support staff positions,
permanent and sessional, along with an estimate of the salary costs
associated with each requested position.
No new faculty are required for this program. Two additional Teaching
Assistantships will be required.
Equipment and supplies. Note requirements for any special equipment, the
costs of its procurement, and whether it is to be acquired through
purchase or lease. It is particularly important to specify the average
useful life of such equipment so that the recurrent costs of equipment
replacement will be known from the start.
No new equipment is required for this program. An incremental increase
in course budgets will be needed to accommodate the additional students.
Library. Explain whether the proposed change will require new library
acquisitions that will result in one-time (e.g. a special collection) or
recurrent costs (e.g. serials). Provide sufficient detail so that
Library staff can calculate both the initial and ongoing costs of the
acquisitions associated with the proposed change.
No new library resources are required.
2/13/16
Unit page # 19
Unit Name: Biology
Year: 2006-2007
Senate Page #___20____
Faculty Page #_______
Space. Estimate the additional square footage required to provide office
space for new staff, plus any additional space requirements. It is
particularly important to specify whether the proposed change will
require dedicated or special-purpose classroom space (e.g. classrooms
with computer terminals, laboratories with special facilities). It is
also useful to note any surplus space currently at the disposal of the
unit proposing the change.
No new space is required.
4.8 The Resource Planning Committee Statement
Whenever an academic unit proposes a new program or a substantial change
to an existing program, that unit must submit a statement of the
financial implications and additional resource requirements that will
result from the implementation of the proposal, as per Sections 1.6 and
1.7 This statement must include an estimate of the incremental revenues
the change will generate, along with a clear indication of how the
estimate was calculated.
The Resource Planning Committee (RPC) responsible for the academic unit
proposing the change must submit a financial attestation for any proposal
deemed to have cost consequences. That attestation must state one of the
following:
(A) The RPC will bear the costs of the proposed change; or
(B) The proposed change is not expected to have financial consequences;
but if unforseen costs do arise, the RPC will absorb them; or
(C) The Budget Planning Committee has examined the proposal and accepted
responsibility for its financing.
Science RPC has approved this proposed new program, and it has passed
Science Faculty Board.
2/13/16
Unit page # 20
Unit Name: Biology
Year: 2006-2007
5.
Senate Page #___21____
Faculty Page #_______
Introduction of New Program in Computational Biology
B.Sc. Honours(20.0 credits)
5.1 Objectives
The report will include statements of:
 The mission of the program
Computational Biology involves the development of computational models
of biological systems. Computational Biology is increasingly recognized
as a distinctive scientific discipline combining aspects of computer
science, statistics, mathematics, and biology, as well as related areas
such as biochemistry and physics. Advances in Computational Biology are
making critical contributions to agriculture and environmental sciences
through the development of computational methods including simulation
and modeling, high-performance computing, statistical methods and
visualization techniques.
The Program in Computational Biology addresses the growing national and
regional demand for trained computational biologists. Research projects
include genomics, proteomics, metabolomics, cell systems modeling and
neuroinformatics. The Computational Biology Program faculty are engaged
in leading-edge research and are dedicated to educating the next
generation of researchers and practitioners in computational biology.
The flexibility of the degree programs makes the Program especially
relevant for students employed in today's diverse biotechnology
workplace, including both private industry and federal agencies and
laboratories.

The learning objectives of the program
Studying an integrated subject like Computational Biology will help
decompartmentalize scientific disciplines and reflect the type of
learning required for students in the 21st century. For students to
succeed in science in this new century, their understanding of science
must be integrative and expansive, not divided and restrictive.




To offer an undergraduate program in computational biology,
designed to prepare students for leading roles in education,
science, business, industry, the professions, and other careers.
To provide a wide range of opportunities for students to acquire
the computational skills they will need in Biology.
Graduates will be proficient in mathematics and the physical
sciences and will become aware of the importance of these
subjects for achieving a full understanding of any biological
phenomenon.
Provide students with a program that uses mathematical reasoning
and techniques to gain insights into complex biological
phenomena. Of equal importance with mathematical content in
these programs are the analytical and problem-solving skills
which find application in nearly every field of endeavor.
2/13/16
Unit page # 21
Unit Name: Biology
Year: 2006-2007

Senate Page #___22____
Faculty Page #_______
The strategic enrolment objectives
The program is designed to recruit 5 to 10 students each year.
four years there should be 20 to 40 students in the program
(see TABLE 1.1)
After
TABLE 5.1
# of students
Retention Rate

Year 1
10
Year 2
9
0.853
Year 3
8
0.774
Year 4
7
0.69
Total
34
Consistency of the program with the objectives of the degree and
the university
The Computational Biology program supports the larger coordinate
mission of Carleton University. We present this new program to foster
integrated learning, exceptional leadership for change and wisdom for a
lifetime.
The proposed Program also supports Carleton’s Vision for the future.
Carleton University will be widely recognized among universities for
it’s success in enhancing students' capacities to integrate learning
and manifest exceptional leadership within a lifelong search for
wisdom. This program will become a model for integrated learning on
campus.
2/13/16
Unit page # 22
Unit Name: Biology
Year: 2006-2007
Senate Page #___23____
Faculty Page #_______
5.2 Description

Course requirements with special emphasis on core requirements
Computational Biology, B.Sc. Honours (20.0 credits)
A. Credits included in the Major CGPA (12.0 credits):
1. 6.0 credits in BIOL 1003, BIOL 1004, BIOL 2001, BIOL 2002,
BIOL 2104, BIOL 2200, BIOL 2600, BIOL 3609, BIOL 3612, BIOL 4103,
BIOL 4908 [1.0];
2. 2.0 credits in BIOL or BIOC at the 3000-level or above;
3. 2.0 credits in COMP 1002, COMP 1005, COMP 1006, COMP 2002;
4. 2.0 credit in COMP at the 2000-level or above;
B. Credits not included in the Major CGPA (8.0 credits):
5. 2.0 credit in CHEM 1000 [1.0], CHEM 2203, CHEM 2204;
6. 1.0 credit in PHYS 1007 and PHYS 1008, or PHYS 1003 and PHYS 1004;
7. 3.0 credits in MATH 1007, MATH 1107, MATH 2007, MATH 2800,
STAT 2507, MATH 3800;
8. 0.5 credit in NSCI 1000 or Approved Arts or Social Sciences;
9. 1.5 credits in Approved Arts or Social Sciences;

Admission requirements
For admission to the Bachelor of Science program in Biology:
students must have the Ontario Secondary School Diploma (OSSD) or
equivalent including a minimum of six Grade 12 4U or 4M (U/C) courses
OR six Ontario Academic Courses (OACs). Equivalent courses may be
substituted between the new curriculum courses and OACs.
The six Grade 12 4U or 4M (U/C) courses must include Advanced Functions
and Introductory Calculus and two of Geometry and Discrete Mathematics,
Biology, Chemistry, Earth and Space Science or Physics (Geometry and
Discrete Mathematics is recommended) OR the six OACs must include
Calculus and two of Algebra/Geometry, Biology, Chemistry or Physics.
Equivalent courses may be substituted between the new curriculum
courses and OACs.
Advanced Standing
Applications for admission with advanced standing to the program will
be evaluated on an individual basis. Successful applicants will have
individual academic subjects, completed with grades of C- or better,
evaluated for academic standing, provided the academic work has been
completed at another university or degree-granting college or in
another degree program at Carleton University. Students must take a
minimum of 1.0 credit of complementary studies at Carleton University.
 Additional program elements
None.
2/13/16
Unit page # 23
Unit Name: Biology
Year: 2006-2007
Senate Page #___24____
Faculty Page #_______
5.3 Academic Merit and Program Delivery
Modern biology, in this post-genome age, is being greatly enriched by
an infusion of ideas from a variety of computational fields, including
computer science, information science, mathematics, operations research
and statistics. In turn, biological problems are motivating innovations
in these computational sciences. There is a high demand for scientists
who can bridge these disciplines. The goal of the Computational Biology
Program is to train such scientists through a rigorous and balanced
curriculum that transcends traditional departmental boundaries. The
Program offers specialized training towards a B.Sc. Honours degree in
Computational Biology that complement and enhance the normal degree
requirements of the students’ home departments.
5.3.1 The report will describe the appropriateness of:



the admission requirements in assessing achievement and
preparation, for the learning objectives of the institution and
the program;
the program's structure and curriculum for its learning
objectives;
the mode of delivery to meet the program’s learning objectives;
 a co-operative education option;
Direct Admission to the First Year of the Co-op Option
Applicants must:
a) Meet the required overall admission cut-off average and prerequisite
course average. These averages may be higher than the stated minimum
requirements for the Bachelor of Science degree stated above;
b) Be registered as a full-time student in the program;
c) Be eligible for work in Canada (for off-campus work placements).
Note that meeting the above entrance requirements only establishes
eligibility for admission to the program. Enrolment in the co-op option
may be limited at the discretion of the department.
Continuation Requirements for Students Previously Admitted to the Co-op
Option and Admission to the Co-op option after beginning the program
Students may also apply to the co-op option once they have arrived at
the University at the beginning of second year, provided they:
a) are registered as a full-time student in the program;
b) have an overall CGPA of 8.00 or better;
c) successfully completed all required first year courses before
beginning the first work placement;
d) are eligible to work in Canada (for off-campus work placements);
e) have obtained permission of the Co-op Faculty Advisor.
Students must be eligible for third-year standing when they return for
a study term after their first work placement.
In addition, students whose first language is not English who are
admitted to Carleton based on TOEFL or CAEL assessments must take the
Spoken English Test for Co-op students and attain a minimum score of
5.0.
Meeting the above entrance requirements only establishes eligibility
for admission to the program. Enrolment in the co-op option may be
limited at the discretion of the department.
2/13/16
Unit page # 24
Unit Name: Biology
Year: 2006-2007

Senate Page #___25____
Faculty Page #_______
the methods used for the evaluation of student progress;
With regard to the computational biology education objectives, the
proposed program will develop, implement and disseminate materials for
the education of computational biologists. The courses will cover as
broad a spectrum of both data-intensive and computation-intensive
biology problems as possible. Illustrative examples will be drawn from
biology applications of interest to faculty and students, to the extent
possible.
With regard to the computational biology research objectives, the
proposed program will provide an intellectual home for a scientific
community carrying out research enabling the solution of cutting-edge
biology problems. Activities will be designed to support
interdisciplinary and inter-institutional collaborations. Activities
will embrace interdisciplinary teams of researchers, drawn from the
physical and life sciences, computational mathematics and computer
science. These teams will focus on application development to harness
the power of computational science for the solution of data-intensive
and/or computation-intensive biology problems. The research objectives
will focus on advancing computation as a tool for biological discovery,
hypothesis formulation, and providing guidance to future
experimentation.
5.3.2 Describe the availability of faculty sufficient in number,
quality and expertise in the relevant areas to support the new program.
Several Biology faculty members (Cheetham, Dumontier, Forbes, Sherratt,
Simons) use mathematical models in their research programs. In
addition, several Mathematics and Statistics faculty have strong
interests in Mathematical Biology (Amundsen, Bose, Mills, Panario,
Stevens). Thus, there will be no difficulty in finding Honours Thesis
supervisors for the Mathematical Biology students.
5.4 Demand and Impact
Computational biology is a very active and fast growing interdisciplinary area in which computational concepts, techniques, and
models are applied to a variety of problems in the biological sciences.
Computational biology is growing inside and outside of academia (for
example, in drug and biotech companies). There is now an increasing
demand for mathematical modellers.
The integrated learning experience provided by this major is, in
effect, broader-based than either Biology or Computer Science alone,
and students can be expected to derive even greater employment
opportunities in a world where an understanding of the molecular basis
of life will be increasingly valued.
Today's life science students absolutely need computational and
mathematical biology competency. It is essential in today's scientific
job market.
The biotechnology sector, either in academia or in the commercial
world, especially in the pharmaceutical industry, is the obvious
employer. However, opportunities abound, in fields as diverse as
hospital administration and genetic counselling, to large scale
2/13/16
Unit page # 25
Unit Name: Biology
Year: 2006-2007
Senate Page #___26____
Faculty Page #_______
sequencing centers, to software development companies. There is no lack
of incentive and the situation is unlikely to change for quite some
time, especially with the current pace of genome project completion.
All that newly sequenced DNA needs to be analyzed and annotated. It is,
and will continue to be, an enormous job. It is the essence of "datamining."
A perusal of employment listings in any of the major scientific
journals or computer bulletin boards clearly illustrates the demand for
skilled mathematical biologists:
http://recruit.sciencemag.org/
http://www.nature.com/naturejobs/
http://net.bio.net/hypermail/biojobs/
http://www.genomeWeb.com/careers/jobs.asp
Over half are often mathematical biology or some other type of
computational or biology position, or, at the very least, positions
that require some knowledge of the techniques of mathematical biology.
The proposed B.Sc. in Mathematical Biology does not overlap with the B.
Math. In Mathematical Biology proposed by the School of Mathematics and
Statistics (Table 1). The B.Sc. program puts more emphasis on Biology
and Biochemistry courses, and is designed for students primarily
interested in a B.Sc. degree in Biology with a strong emphasis on
mathematical approaches. The B.Math program is designed for students
who desire a B.Math degree with a strong emphasis on biological
applications (Table 1).
5.4.1 The report will make a clear statement of the demonstrable
evidence of student and faculty demand, in terms of:






the available data on course and program enrolments, past, current
and projected in the area including the number and kinds of
students who have been taking this group of courses (e.g., fulltime, part-time, special, majors and honours both within and
outside the department(s));
Since this is a totally new program, there is no program enrolment
data available.
any evidence that can demonstrate a potential clientele not now at
the University;
Increasing enrolments in the Biology and Physics program points to
a small, but increasing demand for a program in Mathematical
Biology
the nature and extent of any scholarly activity of faculty members
that may result from the proposed development.
Collaborations are already forming between researchers from Biology
and Computer Science, including, but not limited to: Cheetham,
Dehne, Dumontier, White, Sack, Kraniakos, and others). This
program will promote further collaborations between research groups
in Biology and Computer Science.
5.4.2 Should a proposal be made that has some form of professional
orientation, a market reading on the employment possibilities for
graduates of the program(s) involved and, if such a reading is
inappropriate, an otherwise clear statement of what evidence exists to
support the social need/demand for graduates of the program(s).
2/13/16
Unit page # 26
Unit Name: Biology
Year: 2006-2007
Senate Page #___27____
Faculty Page #_______
The biological sciences are in the midst of an extraordinary expansion
sparked by powerful new technologies, measurement techniques, and the
grand achievements of genomic mapping. The desire to understand the
consequent flood of experimental data has led bioscientists inexorably
to mathematics. Conversely, biological challenges push the boundaries,
leading to creation of new branches of computer science. The
Computational Biology Program will provide a multidisciplinary platform
to support excellent education and research across this interface.
5.4.3 A statement describing the way in which the proposal is expected to
relate to and/or affect the existent program and student mix of the
department and faculty. This statement will include impacts on both
program and course enrolments within the academic unit and elsewhere in
the university.
1. Computational Biology students have complained that their
programs have no academic home (and when the College of Natural
Sciences is closed, they will have no administrative home, either).
2. Prospective students have stated that the names of the programs are
long and confusing. Bioinformatics is a well recognized discipline,
distinct from Computational Biology. Computational Biology with
Specialization in Molecular Bioinformatics is too long and
confusing, and Molecular Bioinformatics is a redundant term.
3. The current program does not give the students enough computer
science courses to become proficient at programming.
4. Moving the Computational Biology programs back to their home
department will provide incentive for more active recruitment of
students into these programs.
Some of the changes in this program are also necessary to incorporate
changes to the Biochemistry programs.
These changes are designed to improve the Computational Biology program
and to improve the undergraduate Biology experience.
2/13/16
Unit page # 27
Unit Name: Biology
Year: 2006-2007
Senate Page #___28____
Faculty Page #_______
5.5 Consultation
The report will demonstrate consultation with and respect for the
comments of:








Other academic units with an interest;
See attached letter from the School of Mathematics and Statistics
The Registrar’s Office;
The Registrar’s Office has audited the program, and given
approval.
The Office of Admission Services;
The Office of Admissions Services has been informed of the
addition of the new program.
The Library;
No new library resources are required for this program
5.6 Resource Requirements and Availability
5.6.1 The report will include a statement identifying the human and
material resources required to effect the proposed development in terms
of:
 academic and non-academic staffing;
No new personnel are required for this program. No new Biology courses
are required for the Mathematical Biology program. Several Biology
faculty members (Cheetham, Dumontier, Forbes, Sherratt, Simons) use
mathematical models in their research programs. Thus, there will be no
difficulty in finding Honours Thesis supervisors for the Mathematical
Biology students. We anticipate approximately 10 students per year in
the B.Sc. in Mathematical Biology.
There is an opportunity for the Biology Department to cooperate with
the School of Mathematics and Statistics to build strength in
Mathematical Biology at Carleton. A new Assistant Professor in
Mathematical Biology was proposed in the Faculty of Science hiring plan
for 2006-2007. This position was not funded. While this new position
would greatly strengthen this program, it is not an absolute
requirement for the Program to proceed. Biology will request this
position again for 2007-2008.
 space allocation (classroom, instructional/laboratory and office);
No new space is required for this program.
 administrative support;
Incremental increase in undergraduate administration support to
accommodate new students is required for this program.
 equipment/supplies;
Incremental increase in course budgets for supplies to accommodate new
students is required for this program.

implications for instructional support departments (e.g., Computing
and Communication Services, Instructional Media Services, etc.);
New students will require Connect accounts.
2/13/16
Unit page # 28
Unit Name: Biology
Year: 2006-2007
Senate Page #___29____
Faculty Page #_______
5.6.2 A statement reporting the assessment of the appropriate division(s)
of the Library regarding the resources required to support such
development.
No new library resources required.
5.6.3 A statement comparing the required resources to the available, and
listing the additional resources (all categories) required.
Incremental costs in course budgets for lab supplies, photocopying, etc.
to accommodate the new students.
5.6.4 A statement on how the additional resources will be provided (this
should include internal and external support).
Resources will be provided through the Biology operating budget which
comes from the Dean of Science. No new Biology courses are required
for the Mathematical Biology program. We anticipate approximately 10
students per year in the B.Sc.(Honours) in Mathematical Biology.
There is an opportunity for the Biology Department to cooperate with
the School of Mathematics and Statistics to build strength in
Mathematical Biology at Carleton.
5.7 Financial Implications
5.7.1 Income Implications
The report will assess as accurately as possible additional revenue for
the university to be expected through implementation of the new
program. This will include income from tuitions, grants and other
sources.
We anticipate 5 to 10 students in the program each year, so in four
years, there could be between 20 to 40 students. Income from tuition
will be equal to the number of students multiplied by the number of
BIU’s that they bring in (see TABLE 1).
5.7.2 Ministry Funding Approval
The proposal must consider and include any additional supporting
documentation as required by the Ministry's funding approval criteria
as per the Ministry of Education and Training document dated November
8, 1996 (available from the Senate Office upon request).
This program meets the Ministry's funding approval criteria as per the
Ministry of Education and Training document dated November 8, 1996.
There is a more recent version of these guidelines, dated April 2005
(see APPENDIX 3).
5.7.3 Costs
The report will assess as accurately as possible the one-time and
recurring costs associated with the proposal as presented in Section
1.6.
Incremental costs in course budgets for lab supplies, photocopying, etc.
to accommodate the new students.
Common categories of costs are listed below, along with an indication of
the sort of information to be supplied:
2/13/16
Unit page # 29
Unit Name: Biology
Year: 2006-2007
Senate Page #___30____
Faculty Page #_______
Personnel. Supply a list of new academic and support staff positions,
permanent and sessional, along with an estimate of the salary costs
associated with each requested position.
No new faculty are required for this program. Two additional Teaching
Assistantships will be required.
Equipment and supplies. Note requirements for any special equipment, the
costs of its procurement, and whether it is to be acquired through
purchase or lease. It is particularly important to specify the average
useful life of such equipment so that the recurrent costs of equipment
replacement will be known from the start.
No new equipment is required for this program. An incremental increase
in course budgets will be needed to accommodate the additional students.
Library. Explain whether the proposed change will require new library
acquisitions that will result in one-time (e.g. a special collection) or
recurrent costs (e.g. serials). Provide sufficient detail so that
Library staff can calculate both the initial and ongoing costs of the
acquisitions associated with the proposed change.
No new library resources are required.
Space. Estimate the additional square footage required to provide office
space for new staff, plus any additional space requirements. It is
particularly important to specify whether the proposed change will
require dedicated or special-purpose classroom space (e.g. classrooms
with computer terminals, laboratories with special facilities). It is
also useful to note any surplus space currently at the disposal of the
unit proposing the change.
No new space is required.
5.8 The Resource Planning Committee Statement
Whenever an academic unit proposes a new program or a substantial change
to an existing program, that unit must submit a statement of the
financial implications and additional resource requirements that will
result from the implementation of the proposal, as per Sections 5.6 and
5.7 This statement must include an estimate of the incremental revenues
the change will generate, along with a clear indication of how the
estimate was calculated.
The Resource Planning Committee (RPC) responsible for the academic unit
proposing the change must submit a financial attestation for any proposal
deemed to have cost consequences. That attestation must state one of the
following:
(A) The RPC will bear the costs of the proposed change; or
(B) The proposed change is not expected to have financial consequences;
but if unforseen costs do arise, the RPC will absorb them; or
(C) The Budget Planning Committee has examined the proposal and accepted
responsibility for its financing.
Science RPC has approved this proposed new program, and it has passed
Science Faculty Board.
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Unit page # 30
Unit Name: Biology
Year: 2006-2007
Senate Page #___31____
Faculty Page #_______
MAJOR CHANGES (2. COURSES)
None
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Unit page # 31
Unit Name: Biology
Year: 2006-2007
Senate Page #___32____
Faculty Page #_______
APPENDIX 1
Retention of New First-time Undergraduates
Biology Department - 1991 to 2005
Cohort: All Degree-seeking, First-time Year One Undergraduates
InitialDegree/CohortYear
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
Source:
Notes:
1.
1.
2.
2.
OIRP: Oct. 18, 2005
2/13/16
H.S. Avg.
73.1%
74.2%
73.6%
74.9%
73.0%
76.0%
79.1%
78.0%
80.6%
80.1%
81.1%
82.4%
81.3%
80.4%
83.7%
Cont. to
2nd Yr
85.4%
73.1%
73.9%
75.7%
75.7%
84.9%
78.1%
79.5%
84.9%
90.0%
85.9%
87.0%
86.1%
85.3%
.
Continuation
Rates
Cont. to 3rd
Yr
66.7%
50.7%
63.1%
63.1%
62.2%
68.8%
67.1%
69.9%
78.1%
86.7%
80.8%
81.0%
77.4%
.
.
Cont. to 4th
Yr
56.3%
46.3%
57.7%
49.5%
45.9%
62.4%
54.8%
64.4%
75.3%
81.7%
78.2%
69.0%
.
.
.
Student Records Database at Nov. 1 of each year and
Admissions Record
The cohort for each year includes all students who
entered Carleton University
into first year, for the first time, without previous
post-secondary experience.
Students are considered 'Continuing' while registered
for any course(s), prior
to
graduation.
Unit page # 32
Unit Name: Biology
Year: 2006-2007
Senate Page #___33____
Faculty Page #_______
APPENDIX 2 – COURSE DESCRIPTIONS
BIOL 1003 [0.5 credit]
Introductory Biology I
A lecture and laboratory course focusing on the cell. The course
emphasizes the organization of cells, cellular metabolism, classical
and molecular genetics and the reproduction of cells and organisms.
Precludes additional credit for BIOL 1000, BIOL 1002, or the
combination of BIOL 2009 and BIOL 2300.
Prerequisite: OAC Biology (or equivalent), or OAC Chemistry (or
equivalent), or CHEM 0100.
Lectures three hours a week, laboratory or tutorial three hours a week.
BIOL 1004 [0.5 credit]
Introductory Biology II
A lecture and laboratory course focusing on organisms and populations.
The course emphasizes diversity of life forms, evolution and ecology.
Precludes additional credit for BIOL 1000, BIOL 1002, or the
combination of BIOL 2009 and BIOL 2300.
Prerequisite: BIOL 1003 or equivalent.
Lectures three hours a week, laboratory or tutorial three hours a week.
BIOL 2001 [0.5 credit]
Animals: Form and Function
An investigation of invertebrates and vertebrates to relate their
structure, function, behaviour and interactions with plants.
Precludes additional credit for BIOL 2000.
Prerequisites: BIOL 1003 and BIOL 1004 or permission of the Department.
Lectures three hours a week, laboratory or tutorial four hours a week.
BIOL 2002 [0.5 credit]
Plants: Form and Function
An introduction to the structure and development of higher plants (at
molecular, cellular and organism levels) discussed in relation to their
function.
Precludes additional credit for BIOL 2000.
Prerequisites: BIOL 1003 and BIOL 1004 or permission of the Department.
Lectures three hours a week, laboratory or tutorial three hours a week
BIOL 2104 [0.5 credit]
Introductory Genetics
A lecture and laboratory course on the mechanisms of inheritance and
the nature of gene structure, composition and function. It introduces
both classical Mendelian genetics and modern molecular genetics.
Precludes additional credit for BIOL 2105. Credit for BIOL 2106 will
only be given if taken before.
Prerequisites: BIOL 1003 and BIOL 1004 or permission of the Department.
Lectures three hours a week, laboratory or tutorial three hours a week.
It is strongly recommended that this course be taken by Biology majors
in their second year of study
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Unit Name: Biology
Year: 2006-2007
Senate Page #___34____
Faculty Page #_______
BIOL 2200 [0.5 credit]
Cell Physiology and Biochemistry
A lecture and laboratory course on cellular functions and their interrelationships. It introduces topics including thermodynamics, membrane
structure and function, transport mechanisms, basic metabolic pathways,
energy production and utilization, communications between cells.
(Listed as BIOC 2200 for students enrolled in the Biochemistry and
Biochemistry/Biotechnology programs.)
Prerequisites: BIOL 1003 and BIOL 1004, CHEM 1000 or permission of the
Department.
Lectures three hours a week, laboratory or tutorial four hours a week.
It is strongly recommended that Biology Majors and Honours students
take this course in their second year of study.
BIOL 2600 [0.5 credit]
Introduction to Ecology
The scientific study of interactions of living organisms and their
environment, and how these affect the distribution and abundance of
life. Topics include energy transformation and flow, nutrient cycling,
population and community dynamics, human impacts on ecosystems,
conservation issues. Laboratory includes field and computer exercises.
Prerequisites: BIOL 1003 and BIOL 1004, or permission of the
Department.
Lectures three hours a week, laboratory or tutorial four hours a week.
BIOL 3104 [0.5 credit]
Molecular Genetics
A lecture course dealing with modern advances in molecular genetics.
Precludes additional credit for BIOL 2105.
Prerequisite: BIOL 2104 or permission of the Department.
Lectures three hours a week.
BIOL 3201 [0.5 credit]
Cell Biology
A lecture and laboratory course on the structure, composition, and
function of eukaryotic cells.
Prerequisites: BIOL 2104 and BIOL 2200, or permission of the
Department.
Lectures three hours a week, laboratory four hours a week.
BIOL 3609 [0.5 credit]
Evolutionary Concepts
Evolution as related to gene pools, isolation, speciation, natural
selection, competition, dominance, and distributional patterns;
examples from North American biota are emphasized. Formerly listed as
BIOL 4609 (61.469). Precludes additional credit for BIOL 4609.
Prerequisites: BIOL 2600 or permission of the Department. Lectures two
hours a week, laboratory four hours a week.
BIOL 4103 [0.5 credit]
Population Genetics
Basic ideas of population structure, equilibrium, selection mutation,
genetic drift.
Precludes additional credit for BIOL 4108.
Prerequisite: BIOL 2104 or permission of the Department. A course in
statistics is highly recommended.
Lectures and seminars three hours a week.
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Unit Name: Biology
Year: 2006-2007
Senate Page #___35____
Faculty Page #_______
BIOL 4908 [1.0 credit]
Honours Research Thesis
An independent research project undertaken in the field and/or the
laboratory, under the direct supervision of a faculty adviser.
Evaluation is based on a written thesis and a poster presentation.
Precludes additional credit for BIOL 4907.
Prerequisites: BIOL 4901 (may be taken concurrently), and permission of
the Department. Open only to B.Sc. Honours students, and B.A. Biology
Honours students (depending on their laboratory experience and with
permission from the Chair of the Department, in their fourth year. )
BIOC 2300 [0.5 credit]
Physical Biochemistry
Topics will include energy of biological systems, molecular
interactions, diffusion principles, introduction to protein folding,
structure and thermodynamics, ligand binding and nucleic acid
structures. Experimental design and data management will be covered.
Prerequisites: CHEM 1000; MATH 1007 and MATH 1107; (PHYS 1007 and PHYS
1008) or (PHYS 1003 and PHYS 1004). Lectures three hours a week.
Tutorials three hours a week.
BIOC 3008 [0.5 credit]
Introduction to Bioinformatics
This practical course explores the broad scope of bioinformatics and
provides insight into the theory, implementation, applications and
limitations of computational approaches. Topics may include
introductory programming, data modeling, biological databases, sequence
alignment, phylogeny, pathways and biological networks.
Precludes additional credit for BIOC 4006.
Prerequisites: BIOL 2104; BIOC 2200 or BIOL 2200; or permission of the
Institute. Background in computer programming and/or evolutionary
concepts is recommended. Lecture one hour a week, computer workshop
three hours a week.
BIOC 3101 [0.5 credit]
General Biochemistry I
Chemistry, structure and function of proteins, lipids, carbohydrates
and nucleic acids. Course examines the monomers, linkages and types of
biochemical polymers that are formed. Mechanism of action of enzymes,
regulatory control mechanisms of proteins and integration of
biochemical pathways are covered.
Precludes additional credit for BIOC 3100.
Prerequisites: CHEM 2203 and CHEM 2204; CHEM 2101 or BIOC 2300, or BIOC
2200/BIOL 2200 with a grade of C- or better, or permission of the
Institute.
Lectures three hours a week.
2/13/16
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Unit Name: Biology
Year: 2006-2007
Senate Page #___36____
Faculty Page #_______
BIOC 3102 [0.5 credit]
General Biochemistry II
Anabolic and catabolic processes covered. Regulation of cell
compartment (membranes, mitochondria, chloroplast, peroxisome, nuclei)
composition. Genetic controls of transcription, translation and posttranslational modification of protein structure and function.
Biochemical processes of disease, development, and toxicology are
outlined.
Precludes additional credit for BIOC 3100.
Prerequisites: BIOC 3101 and BIOL 2104
Lectures three hours a week.
BIOC 3202 [0.5 credit]
Biophysical Techniques
Theory and overview of current biochemical/biophysical instrumentation
and techniques including optical, infrared, circular dichroism and
fluorescence spectroscopy, isothermal titration and differential
scanning calorimetry, electrophoresis, and mass spectrometry.
Precludes additional credit for BIOC 4002.
Prerequisites: (BIOC 2300 or CHEM 2101) and BIOC 2200
Lectures three hours a week.
BIOC 4008 [0.5 credit]
Advanced Bioinformatics
A computational course that explores the dynamic nature of proteins and
cellular networks. Topics may include object oriented programming,
integrated databases, protein structure prediction, drug discovery and
cell simulation. Prerequisites: BIOC 3008 or BIOC 4006 or permission
of the Institute. Background in biomacromolecules, biochemical
regulation and/or object-oriented programming are recommended. Lecture
one hour a week, computer workshop three hours a week.
BIOC 4202 [0.5 credit]
Mutagenesis and DNA Repair
A mechanistic study of mutagenesis and DNA repair. Topics will include
DNA structure perturbations, spontaneous and induced mutagenesis, the
genetics and biochemistry of DNA repair and recombination, and the role
of mutations in the development of genetic disease and cancer. (Also
listed as BIOL 4202). Prerequisites: BIOL 2200 or BIOC 2200 or BIOC
3100 (taken concurrently); BIOL 3104, or permission of the Institute.
Lectures two hours a week and workshop two hours a week.
CHEM 1000 [1.0 credit]
General Chemistry
Solution equilibria, acid and base chemistry; electronic structure of
atoms; energy states and spectra; descriptive chemistry and periodic
properties of elements; structure of covalent and ionic substances;
energy relationships and theories in bonding, equilibria, and rates of
reactions. Experimental techniques in analysis and synthesis.
Precludes additional credit for CHEM 1101. Prerequisites: OAC in
Calculus and Chemistry, or equivalent. This course is intended for
students in all programs who plan to take further chemistry courses.
Lectures three hours a week, laboratory and tutorial three hours a
week.
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Unit Name: Biology
Year: 2006-2007
Senate Page #___37____
Faculty Page #_______
CHEM 2203 [0.5 credit]
Organic Chemistry I
Structure, organization, and scope of organic chemistry including
molecular structures of well-known and important organic chemicals,
types of chemical reactions, and spectroscopic methods used in
identification. Training in the handling and purification of organic
compounds, organic chemical reactions, and the use of infrared
spectroscopy.
Precludes additional credit for CHEM 2200 and CHEM 2207. Students
presenting both and CHEM 2101 will not be able to receive additional
credit for CHEM 2800. Students in the B.Sc. program with will only be
able to use CHEM 2800 in the free elective category, except for
students in the Environmental Science Program, who may include in the
Approved Science Course category while maintaining CHEM 2800 as a
mandatory course requirement.
Prerequisite: CHEM 1000.
Lectures three hours a week, laboratory three hours a week.
CHEM 2204 [0.5 credit]
Organic Chemistry II
Further discussion of chemical bonding in organic compounds,
nomenclature, stereochemistry, and a systematic coverage of the
chemical reactions of organic functional groups. Laboratory experience
in organic chemical reactions, use of infrared spectroscopy and other
techniques to determine the structure of unknown organic compounds.
Precludes additional credit for CHEM 2208 or CHEM 2206.
Prerequisite: CHEM 2200 or CHEM 2203.
Lectures three hours a week, laboratory three hours a week
PHYS 1007 [0.5 credit]
Elementary University Physics I
Mechanics, properties of matter, thermodynamics. Applications chosen in
part from the life sciences. For students who do not intend to take
additional courses in Physics or who lack the prerequisites for PHYS
1001. Precludes additional credit for PHYS 1001, PHYS 1003 and PHYS
1005. Prerequisite: MATH 0107 (may be taken concurrently). Lectures
three hours a week, laboratory three hours a week.
PHYS 1008 [0.5 credit]
Elementary University Physics II
Electricity and magnetism, DC and AC circuits, wave motion and light.
Elements of modern physics. Applications chosen in part from the life
sciences. Precludes additional credit for PHYS 1002 and PHYS 1005.
Prerequisite: PHYS 1001 or PHYS 1003 or PHYS 1007. Lectures three hours
a week, laboratory three hours a week.
COMP 1002 [0.5 credit]
Introduction to Systems Programming
Introduction to programming with procedures and primitive data types.
Topics include: arrays, strings, pointers, heap and stack memory
allocation and deallocation, iterative and recursive linked list
manipulations, system/library calls. Precludes additional credit for
COMP 1007, COMP 1402, SYSC 1102 and ECOR 1606. Prerequisite: COMP 1005.
Lectures three hours a week.
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Unit Name: Biology
Year: 2006-2007
Senate Page #___38____
Faculty Page #_______
COMP 1005 [0.5 credit]
Introduction to Object-Oriented Programming
A first course in problem solving and computer programming designed for
students wishing to specialize in Computer Science. Introduction to
object-oriented programming: syntactic constructs, data abstraction,
classification and inheritance, typing and polymorphism, testing and
debugging. Precludes additional credit for COMP 1405 and SYSC 1100.
Lectures three hours a week and one hour tutorial.
COMP 1006 [0.5 credit]
Design and Implementation of Computer Applications
A continuation of COMP 1005, focusing on the design and implementation
of complete applications. Topics covered include persistence, graphical
user interface design and implementation, event-driven programming,
recursion, drawing and manipulating 2D graphics and networking.
Precludes additional credit for COMP 1406 and SYSC 1101. Prerequisites:
a grade of C- or better in COMP 1005. Lectures three hours a week.
COMP 2002 [0.5 credit]
Abstract Data Types and Algorithms
Introduction to the design and implementation of abstract data types
and to the complexity analysis of data structures. Topics include:
stacks, queues, lists, trees and graphs. Special attention is given to
abstraction, interface specification and hierarchical design using an
object-oriented programming language.
Precludes additional credit for COMP 2402 and SYSC 2002.
Prerequisites: a grade of C- or better in COMP 1006.
Lectures three hours a week
COMP 2004 [0.5 credit]
Programming in C++
In-depth study of the language C++ from a software engineering
perspective, with emphasis on features supporting the development of
large efficient and reusable systems. Topics include: encapsulation,
templates, references, constructors and destructors, overloading,
memory management, exception handling, and the standard template
library. Precludes additional credit for COMP 2404 and SYSC 2004.
Prerequisites: COMP 1002 and COMP 1005 with a grade of C- or better in
each. Lectures three hours a week.
MATH 1002 [1.0 credit]
Calculus
Limits, differentiation, the definite integral, elementary functions,
trigonometric functions (identities, limits, derivatives), techniques
of integration, parametric equations, polar coordinates. Improper
integrals, L'Hôpital's rules, sequences and series, Taylor's formulae.
Introduction to differential equations.
Strongly recommended for students intending to specialize in
mathematics, statistics, physics, or related areas.
2/13/16
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Unit Name: Biology
Year: 2006-2007
Senate Page #___39____
Faculty Page #_______
MATH 1007 [0.5 credit]
Elementary Calculus I
Definite and indefinite integrals, differentiation and integration of
the elementary functions and transcendental functions, techniques and
applications of integration. Precludes additional credit for MATH 1002,
MATH 1004, MATH 1009. Prerequisite: Ontario Grade 12 Mathematics:
Advanced Functions and Introductory Calculus; or an OAC in Calculus, or
MATH 0007; or equivalent. Lectures three hours a week and one hour
tutorial.
MATH 1102 [1.0 credit]
Algebra
Fields, complex numbers, vector algebra and geometry in 2 and 3
dimensions, matrix algebra, linear dependence, bases, linear
transformations, bilinear and quadratic forms, inner products,
eigenvalues, principal axis theorem. Strongly recommended for students
intending to specialize in mathematics, statistics, physics, or related
areas.
MATH 1107 [0.5 credit]
Linear Algebra I
Systems of linear equations; vector space of n-tuples, subspaces and
bases; matrix transformations, kernel, range; matrix algebra and
determinants. Dot product. Complex numbers (including de Moivre's
Theorem, and n-th roots). Eigenvalues, diagonalization and
applications. Precludes additional credit for MATH 1102, MATH 1104,
MATH 1109 and MATH 1119. Note: MATH 1119 is not an acceptable
substitute for MATH 1107. Prerequisite: Ontario Grade 12 Mathematics:
Geometry and Discrete Mathematics; or an OAC in Algebra and Geometry;
or MATH 0107 (or equivalent). Lectures three hours a week and one hour
tutorial.
MATH 2007 [0.5 credit]
Elementary Calculus II
Further techniques of integration, improper integrals, polar
coordinates, parametric equations, indeterminate forms, sequences and
series, Taylor's formula and series, first order and linear
differential equations. Precludes additional credit for MATH 1002, MATH
1005, and for MATH 2001, MATH 2002. Prerequisites: i) MATH 1004, or a
grade of C- or better in MATH 1007 or MATH 1009; and ii) an OAC in
Algebra and Geometry, or MATH 0107, or permission of the School.
Lectures three hours a week and one hour tutorial.
MATH 2008 [0.5 credit]
Intermediate Calculus
Partial differentiation, chain rule, gradient, line and multiple
integrals with applications, transformations, implicit and inverse
function theorems. Precludes additional credit for MATH 2004, MATH
2009, MATH 2000, and for MATH 2001, MATH 2002. Prerequisites: MATH 1002
or MATH 2007, and MATH 1102 or MATH 1107.
Lectures three hours a week and one hour tutorial.
2/13/16
Unit page # 39
Unit Name: Biology
Year: 2006-2007
Senate Page #___40____
Faculty Page #_______
MATH 3800 [0.5 credit]
Modeling and Computational Methods for Experimental Science
Mathematical modeling in the experimental sciences: design, analysis
and pitfalls. Computational methods directly applicable to problems in
science will be described, including: function evaluation,
interpolation, solution of linear equations, root finding, integration,
solution of differential equations, Fourier series and Monte Carlo
methods. (Also listed as CMPS 3800.) Only one of MATH 3806/COMP 3806
or/CMPS 3800 may count for credit in a B.Math. program. Prerequisites:
MATH 1107; MATH 2007 or MATH 2009; and COMP 1006. Lectures three hours
a week.
MATH 3806 [0.5 credit]
Numerical Analysis
Elementary discussion of error, polynomial interpolation, quadrature,
linear systems of equations and matrix inversion, non-linear equations,
difference equations and ordinary differential equations. (Also listed
as COMP 3806.) Prerequisites: i) MATH 1002, MATH 1005 or MATH 2007 (or
MATH 2001 or MATH 2002); and ii) MATH 1102 or MATH 2107; and (iii)
knowledge of a computer language. Lectures three hours a week and one
hour tutorial.
MATH 3815 [0.5 credit]
Mathematics for Molecular Biology
Linear recurrences; difference equations; graph theory and trees;
heuristic and approximation algorithms; software tools; DNA sequencing
methods; alignment; string similarity; genetic mapping.
Prerequisite: MATH 1102 (or MATH 1107); MATH 1002 (or MATH 2007); or
permission of the School. Lectures three hours a week.
MATH 3816 [0.5 credit]
Mathematics for Evolutionary Biology
Population dynamics; evolutionary trees; predator-prey models; game
theory; evolutionary genetics; nonlinear dynamics & chaos; pattern
formation. Prerequisite: MATH 1002 (or MATH 2007); MATH 1102 (or MATH
1107).; or permission of the School. Lectures three hours a week.
STAT 2507 [0.5 credit]
Introduction to Statistical Modeling I
A data-driven introduction to statistics. Basic descriptive statistics,
introduction to probability theory, random variables, various discrete
and continuous distributions, contingency tables and goodness-of-fit,
sampling distributions, distribution of sample mean, Central Limit
Theorem, application to interval estimation and hypothesis testing. A
statistical software package will be used. Precludes additional credit
for STAT 2606, STAT 3502, ECON 2200, ECON 2201, and GEOG 2006.
Prerequisite: an Ontario Grade 12 university-preparation Mathematics
(after Summer 2002) or an OAC in Mathematics or equivalent, or
permission of the School of Mathematics and Statistics. Lectures three
hours a week, laboratory one hour a week.
2/13/16
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Unit Name: Biology
Year: 2006-2007
Senate Page #___41____
Faculty Page #_______
STAT 2559 [0.5 credit]
Basics of Statistical Modeling (Honours)
Estimation and hypothesis testing for one and two samples, analysis of
categorical data, basics of experimental design, analysis of variance,
simple linear regression and correlation. Nonparametric procedures. A
statistical software package will be used. Precludes additional credit
for STAT 2509, STAT 2607, ECON 2200, ECON 2202. Prerequisite: STAT 2655
(or a grade of B- or better in STAT 2507); or permission of the School.
Lectures three hours a week, tutorial/laboratory one hour a week.
STAT 2655 [0.5 credit]
Introduction to Probability with Applications (Honours)
Axioms of probability, basic combinatorial analysis, conditional
probability and independence, discrete and continuous random variables,
joint and conditional distributions, expectation, central limit
theorem, sampling distributions, simulation and applications to
descriptive statistics. A statistical software package will be used.
Precludes additional credit for STAT 2605 and MATH 2600. Prerequisites:
MATH 1002 (or MATH 2007) with a grade of C+ or better, and MATH 1102
(or MATH 2107) with a grade of C+ or better. Lectures three hours a
week, tutorial one hour a week.
STAT 3503 [0.5 credit]
Regression Analysis
Review of simple and multiple regression with matrices, Gauss-Markov
theorem, polynomial regression, indicator variables, residual analysis,
weighted least squares, variable selection techniques, nonlinear
regression, correlation analysis and autocorrelation. Computer packages
are used for statistical analyses. Precludes additional credit for STAT
3553, ECON 4706, and for STAT 3505, STAT 3501; PSYC 3000 is precluded
for additional credit for students registered in a Mathematics program.
Prerequisites: i) STAT 2509 or STAT 2607, or ECON 2200, or ECON 2202,
or equivalent; and ii) MATH 1102 or MATH 1107 or MATH 1109 or
equivalent; or permission of the School. Lectures three hours a week
and one hour laboratory.
STAT 3504 [0.5 credit]
Analysis of Variance and Experimental Design
Single and multifactor analysis of variance, orthogonal contrasts and
multiple comparisons, analysis of covariance; nested, crossed and
repeated measures designs; completely randomized, randomized block,
Latin squares, factorial experiments, related topics. Computer packages
are used for statistical analyses. Precludes additional credit for STAT
4504, and for STAT 3505, STAT 3501; PSYC 3000 is precluded for
additional credit for students registered in a Mathematics program.
Prerequisite: STAT 3503 or permission of the School. Lectures three
hours a week and one hour laboratory.
2/13/16
Unit page # 41
Unit Name: Biology
Year: 2006-2007
Senate Page #___42____
Faculty Page #_______
APPENDIX 3 – POTENTIAL EMPLOYERS FOR GRADUATES FROM MATHEMATICAL
BIOLOGY, COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
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Acadian Institute of Biotechnology
Acerna Inc.
AdCulture Group Inc.
Ag-West Biotech Inc.
Alberta Research Council
Apoptogen Inc.
Aventis CropScience Canada Company
Aventis Pasteur Limited
Bayer Inc.
BC Biotechnology Alliance
BCG Life Sciences Inc.
Bioagral Inc.
BioAlberta
BioAtlantech
BioCapital
BioChem Pharma Inc.
Biomira Inc.
Bioniche Inc.
BioNova
Blake, Cassels & Graydon LLP
Canadian Agri-Food Research Council
Canadian Animal Health Institute
Canadian Aquaculture Industry Alliance
Canadian Council of Professional Engineers
Canadian Federation of Biological Societies
Canadian Life Technologies Inc.
Cantest Ltd.
Cantox Health Sciences International
Chromos Molecular Systems Inc.
City of Toronto
Contact Canada Inc.
Dalhousie University
Deeth Williams Wall
DNA Plant Technology Inc.
Dow AgroSciences Canada Inc.
DuPont Canada Inc.
Eli Lilly Canada Inc.
Ernst & Young
Glaxo Wellcome Inc.
GLYCODesign Inc.
Gowling, Strathy & Henderson
Haemacure Corporation
Hazzard & Hore
Hemosol Inc.
Hoffmann-LaRoche Ltd.
Industry Canada
Insect Biotech Canada Inc.
Intellivax International Inc.
Janssen-Ortho Inc.
KEY Foundation
KPMG LLP (Toronto)
Lapointe Rosenstein
Marsh Canada Limited
McCarthy Consultant Services Inc.
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Unit Name: Biology
Year: 2006-2007
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Senate Page #___43____
Faculty Page #_______
McGill University
Medical Research Council of Canada
MEDSCOPE Communications Inc.
Merck Frosst Canada Inc.
Monsanto Company
Nanodesign Inc.
National Public Relations Inc.
National Research Council of Canada
Neurotrophic Bioscience Inc.
Novartis
Novo Nordisk Canada Inc.
Novopharm Biotech Inc.
Ontario Agri-Food Technologies
Ontario Ministry of Energy, Science & Technology
Osler, Hoskin & Harcourt
Ottawa Life Sciences Council
P.E.N.C.E. Inc. (Protein Engineering NCE)
Packard BioScience Co.
Palmer D'Angelo Consulting Inc.
Pharmacia Corporation
Philom Bios
Pioneer Hi-Bred Limited
PBR Laboratories Inc.
Prince Edward Island Business Development
ProMetic BioSciences Inc.
Promotive Communications Inc.
Québec Bio-Industries Association (QBA)
Randy Stroud Consulting Inc.
Royal Bank Financial Group
Royal Society of Canada
Searle Canada
SemBioSys Genetics Inc.
Serono Canada Inc.
SignalGene Inc.
Smart & Biggar/Fetherstonhaugh & Co.
SmithKline Beecham Pharma
Spectrum Medical Market Consultants
Syndel Laboratories
SYNSORB Biotech Inc.
Theratechnologies Inc.
TissueInformatics Inc.
Toronto Biotechnology Initiative
Trevor-Deutsch, Burleigh: Bioethics Consultant
Université de Montréal
University of British Columbia
University of Calgary
University of Guelph
University of Toronto
2/13/16
Unit page # 43